- Student Records
Programme & Unit Catalogues

BB50242: Research project 1B

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Biology & Biochemistry
Further information on credits Credits: 15      [equivalent to 30 CATS credits]
Further information on notional study hours Notional Study Hours: 300
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Academic Year
Further information on unit assessment Assessment Summary: CW 60%, OT 40%
Further information on unit assessment Assessment Detail:
  • Lab Sheets (OT 40%)
  • Research Paper (CW 60%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
The aim of this unit is to provide students the foundation for applying computational skills in analysing biological datasets.

Learning Outcomes:
By the end of this unit you will be able to:
* Apply your knowledge in order to evaluate and critique current problems, methodologies and/or new insights in your field;
* Define a research question relevant to your field;
* Employ relevant technical skills to create and interpret a biological dataset and address your research question;
* Exercise time and resource management, analytical, interpretative and literature-accessing skills during the undertaking and presentation of your project;
* Construct scientific writing at the level of a primary research paper;
* Use professional judgement to employ initiative and autonomy or draw on and develop teamwork skills as appropriate to the situation.

The project will have the following elements:
* The first will introduce relevant programming language (e.g. Python); general computing; use of essential libraries for data science (e.g. Numpy, Scipy, Matplotlib, Scikit-learn in the context of Python) and numerical and performance factors underlying.
* The second will cover the use of data structures, database systems, and software technologies for scalability, from the viewpoint of both storage and computation.
* The third will involve the application of computational skills to address research questions relating to large biological datasets.
Further information on programme availabilityProgramme availability:

BB50242 is a Designated Essential Unit on the following programmes:

Department of Biology & Biochemistry
  • RSBB-AFM48 : Integrated PhD Molecular Biosciences (Bioinformatics)
  • TSBB-AFM48 : MSc Molecular Biosciences (Bioinformatics)